Uttar Pradesh and Bihar Survey of Living Conditions 1997-1998
India, 1997 - 1998
The World Bank
Created on
January 30, 2020
Last modified
January 30, 2020
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- Data files
- HHLIST
- PSULIST
- SECT00
- SECT01A
- SECT01B
- SECT02AD
- SECT02E
- SECT03AB
- SECT03C
- SECT04A
- SECT04B
- SECT05A
- SECT05B
- SECT06A
- SECT06B
- SECT06C
- SECT07A
- SECT07B
- SECT07C
- SECT07D
- SECT08A
- SECT08B
- SECT08C
- SECT09A
- SECT09B1
- SECT09B2
- SECT09B3
- SECT09C1
- SECT09C2
- SECT09D1
- SECT09D2
- SECT10A
- SECT10B
- VILL01A1
- VILL01A2
- VILL01B
- VILL02A
- VILL02B
- VILL02C
- VILL03A
- VILL03B
- VILL04A
- VILL04B1
- VILL04B2
- VILL05A
- VILL05B
- VILL06
- VILL07A
- VILL07B
- VILL07C
- VILL07C1
- VILL07D
Industry code (v01b04)
Data file: SECT01B
Overview
Valid:
2239
Invalid:
7
Type:
Discrete
Decimal:
0
Width:
2
Range:
0 - 96
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | OTHER NON-DEFINED | 24 |
1.1%
|
| 7 | 1 |
0%
|
|
| 11 | AGRICULTURE AND HUNTING | 1377 |
61.5%
|
| 12 | FORESTRY AND LOGGING | 4 |
0.2%
|
| 13 | FISHING | 4 |
0.2%
|
| 15 | 1 |
0%
|
|
| 21 | COAL MINING | 6 |
0.3%
|
| 22 | PETROLEUM, GAS PRODUCTION | 0 |
0%
|
| 23 | METAL ORE MINING | 0 |
0%
|
| 24 | OTHER MINING | 19 |
0.8%
|
| 30 | 1 |
0%
|
|
| 31 | FOOD, BEVERAGES, TOBACCO | 45 |
2%
|
| 32 | TEXTILES, APPAREL, LEATHER | 61 |
2.7%
|
| 33 | WOOD, FURNITURE | 40 |
1.8%
|
| 34 | PAPER/PRINTING/PUBLISHING | 3 |
0.1%
|
| 35 | CHEMICAL/PETROLEUM/PLASTICS | 8 |
0.4%
|
| 36 | OTHER NON-METALLIC | 68 |
3%
|
| 37 | BASIC METALLIC | 2 |
0.1%
|
| 38 | FABRICATED METALLIC/MACHINERY | 30 |
1.3%
|
| 39 | HANDICRAFTS AND OTHER | 33 |
1.5%
|
| 41 | ELECTRICITY/GAS/WATER | 7 |
0.3%
|
| 42 | WATER WORKS AND SUPPLIES | 1 |
0%
|
| 51 | BUILDING | 88 |
3.9%
|
| 52 | STREETS/HIGHWAYS/BRIDGES | 11 |
0.5%
|
| 53 | IRRIGATION/HYDROELECTRIC | 3 |
0.1%
|
| 54 | SPORTS PROJECTS | 0 |
0%
|
| 55 | DOCKS/COMMUNICATIONS | 0 |
0%
|
| 56 | PIPELINES | 0 |
0%
|
| 57 | 1 |
0%
|
|
| 58 | OTHER CONSTRUCTION ACTIVITIES | 7 |
0.3%
|
| 61 | WHOLESALE | 4 |
0.2%
|
| 62 | RETAIL | 146 |
6.5%
|
| 63 | RESTAURANTS/HOTELS | 11 |
0.5%
|
| 71 | TRANSPORT/STORAGE | 78 |
3.5%
|
| 72 | COMMUNICATION | 4 |
0.2%
|
| 81 | FINANCE | 6 |
0.3%
|
| 82 | INSURANCE | 0 |
0%
|
| 83 | REAL ESTATE/BUSINESS | 2 |
0.1%
|
| 91 | PUBLIC ADMINISTRATION/DEFENSE | 41 |
1.8%
|
| 92 | SANITARY, ETC. | 4 |
0.2%
|
| 93 | SOCIAL, ETC. | 41 |
1.8%
|
| 94 | RECREATION/CULTURE | 1 |
0%
|
| 95 | PERSONAL/HOUSEHOLD | 55 |
2.5%
|
| 96 | INTERNATIONAL AND OTHER | 1 |
0%
|
| Sysmiss | 7 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
var_qstn_ivuinstr
Write industry ID code in which the person is employed in Q. 4. Use the 2 digit industry codes provided at the back of the questionnaire for Q.4. In case the person listed as the main breadwinner is engaged in more than one activity, fill in the industry code corresponding to his / her main activity.